Energy consumption of machine learning enhanced open RAN: A comprehensive review

X Liang, Q Wang, A Al-Tahmeesschi, S Chetty… - IEEE …, 2024 - ieeexplore.ieee.org
The Open Radio Access Network (RAN) emerges as a revolutionary architecture promising
unprecedented levels of openness, flexibility, and intelligence within radio access networks …

A survey on sleep mode techniques for ultra-dense networks in 5G and beyond

F Salahdine, J Opadere, Q Liu, T Han, N Zhang… - Computer Networks, 2021 - Elsevier
The proliferation of mobile users with an attendant rise in energy consumption mainly at the
base station has requested new ways of achieving energy efficiency in cellular networks …

An efficient energy-saving scheme using genetic algorithm for 5G heterogeneous networks

H Fourati, R Maaloul, L Fourati… - IEEE Systems Journal, 2022 - ieeexplore.ieee.org
Energy-saving (ES) is becoming one of the most challenging tasks that fifth-generation (5G)
tends to tackle. The problem of identifying the optimal set cells to be turned off is …

An analytical energy performance evaluation methodology for 5G base stations

SKG Peesapati, M Olsson, M Masoudi… - … on wireless and …, 2021 - ieeexplore.ieee.org
The implementation of various base station (BS) energy saving (ES) features and the widely
varying network traffic demand makes it imperative to quantitatively evaluate the energy …

Q-learning based radio resource adaptation for improved energy performance of 5G base stations

SKG Peesapati, M Olsson, M Masoudi… - 2021 IEEE 32nd …, 2021 - ieeexplore.ieee.org
Radio resource adaptation (RRA) is an effective strategy to reduce the energy consumption
(EC) of a base station (BS) under variable input traffic demand. By combining RRA with …

An efficient energy saving scheme using reinforcement learning for 5G and beyond in H-CRAN

H Fourati, R Maaloul, N Trabelsi, L Chaari, M Jmaiel - Ad Hoc Networks, 2024 - Elsevier
Maximizing the energy saving is one of the most important metrics in 5G and Beyond (B5G)
cellular mobile networks. In order to satisfy the diverse requirements of 5G/B5G in dynamic …

Energy Efficiency in a Base Station of 5G Cellular Networks using M/G/1 Queue with Multiple Sleeps and N-Policy

DM CK, D Selvamuthu, P Kalita - Methodology and Computing in Applied …, 2023 - Springer
Reducing energy consumption is the vital goal of green communication. Base station (BS) is
a radio receiver/transmitter that serves as the hub of the local wireless network. It is a …

Advanced sleep modes in 5G multiple base stations using non-cooperative multi-agent reinforcement learning

AA Razzac, T Chahed, Z Shamseddine… - … 2023-2023 IEEE …, 2023 - ieeexplore.ieee.org
We consider in this paper multiple 5G base stations (BSs) implementing Advanced Sleep
Modes (ASM) wherein each base station is able to deactivate some of its components when …

Integration of massive MIMO and machine learning in the present and future of power consumption in wireless networks: A review

SE Nwachukwu, M Chepkoech… - 2022 IEEE 7th …, 2022 - ieeexplore.ieee.org
The steady increase in data traffic rates and systems' complexity have contributed to the
information and communication technologies (ICT) sector's increased energy consumption …

A power consumption model and energy saving techniques for 5G-Advanced base stations

M Oikonomakou, A Khlass, D Laselva… - 2023 IEEE …, 2023 - ieeexplore.ieee.org
Aiming at minimizing the base station (BS) energy consumption under low and medium load
scenarios, the 3GPP recently completed a Release 18 study on energy saving techniques …